DOI: 10.1016/j.foreco.2012.09.038
Scopus记录号: 2-s2.0-84870186201
论文题名: Developing a computerized approach for optimizing individual tree removal to efficiently reduce crown fire potential
作者: Contreras M.A. ; Chung W.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 289 起始页码: 219
结束页码: 233
语种: 英语
英文关键词: Fire modeling and simulation
; Skid-trail network
; Skidding cost
; Thinning treatments
; Tree growth model
Scopus关键词: Adjacent tree
; After-treatment
; Basal area
; Cost efficiency
; Crown fires
; Cut-tree
; Economic efficiency
; Fire behavior
; Fire modeling
; Forest stand
; Fuel connections
; Individual tree
; Individual tree growth models
; Light detection and ranging
; Montana
; Silvicultural treatments
; Site-specific
; Skidding cost
; Spatial patterns
; Spatial selections
; Stand levels
; Temporal effects
; Thinning practices
; Thinning treatment
; Tree growth
; Tree growth models
; Tree selection
; Tree size
; Computer simulation
; Fires
; Optical radar
; Optimization
; Forestry
; canopy architecture
; computer simulation
; fire behavior
; forest fire
; growth modeling
; growth rate
; lidar
; optimization
; silviculture
; spatiotemporal analysis
; stand structure
; thinning
; Forest Fires
; Forestry
; Growth
; Optimization
; Radar
; Simulation
; Skidding
; Thinning
; Montana
; United States
英文摘要: Thinning is a common silvicultural treatment being widely used to restore different types of overstocked forest stands in western U.S. because of its effect on changing fire behavior. Typically, thinning is applied at the stand level using prescriptions derived from sample plots that ignore variability in tree sizes and location within stands. Thinning prescriptions usually specify tree removal in terms of number of trees or basal area, resulting in a large number of cut-tree spatial patterns that meet the same prescription. However, the effect of each pattern on reducing crown fire potential can vary widely depending on the spatial distribution of leave-trees after treatment. Additionally, stand-level thinning prescriptions ignore cut-tree locations, which influence the economic efficiency of the thinning operations. Lastly, decisions on tree selection affect future competition levels of remaining trees, but the associated spatial and temporal effects on tree growth and crown fire potential over time are not considered in the development of thinning prescriptions. To address the limitations of current stand-level thinning practices, we designed a computerized approach to optimize individual tree removal and produce site specific thinning prescriptions that efficiently reduce crown fire potential. Based on stem map and tree attributes derived from light detection and ranging (LiDAR) technology and a distance-dependent individual tree growth model, current and future tree-level fuel connections between adjacent trees were predicted and used as measures of crown fire potential. The approach makes the spatial selection of cut- and leave-trees that most efficiently reduces crown fire initiation and propagation over time while ensuring cost efficiency of the thinning treatment. Application results on a forest stand in western Montana show that the optimal tree selection provided by the computerized approach can reduce crown fire potential more efficiently than current thinning practices represented by a manual selection of tree removal. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66839
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forestry, College of Agriculture, University of Kentucky, 214 Thomas Poe Cooper Building (Office: 204), Lexington, KY 40546-0073, United States; Department of Forest Management, College of Forestry and Conservation, University of Montana, Missoula, MT 59812, United States
Recommended Citation:
Contreras M.A.,Chung W.. Developing a computerized approach for optimizing individual tree removal to efficiently reduce crown fire potential[J]. Forest Ecology and Management,2013-01-01,289